• Title/Summary/Keyword: Line: identification

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Identification of IY81149 and Its Metabolites in the Rat Plasma Using the On-Line HPLC/ESI Mass Spectrometry

  • Myung, Seung-Woon;Min, Hye-Ki;Jin, Chang-Bae;Kim, Myung-Soo;Lee, Seung-Mok;Chung, Gi-Ju;Park, Seong-Jun;Kim, Dong-Yeon;Cho, Hyun-Woo
    • Archives of Pharmacal Research
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    • v.22 no.2
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    • pp.189-193
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    • 1999
  • Reversed-phase high-performance liquid chromatography/mass spectrometry (HPLC/MS) with an eletcrospray ionization (ESI) interface was applied to the identification of metabolites of IY81149 in the rat plasma. Fragments obtained using collision-induced dissociation (CID) in both positive and negative modes were utilized to elucidate the structure of metabolites. The eluent from the conventional HPLC column was split and directly introduced into an ESI-mass spectrometer for the identification of the structures. the CID technique allowed the sensitive identification of sulfonyl-IY81149 and hydroxy-IY81149 from the rat plasma.

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Intramuscular neural distribution of the teres minor muscle using Sihler's stain: application to botulinum neurotoxin injection

  • Kyu-Ho Yi;Soo-Bin Kim;Kangwoo Lee;Hyewon Hu;Ji-Hyun Lee;Hyung-Jin Lee
    • Anatomy and Cell Biology
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    • v.56 no.3
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    • pp.322-327
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    • 2023
  • The aim of this study was to elucidate the intramuscular arborization of the teres minor muslce for effective botulinum neurotoxin injection. Twelve specimens from 6 adult Korean cadavers (3 males and 3 females, age ranging from 66 to 78 years) were used in the study. The reference line between the 2/3 point of the axillary border of the scapula (0/5), where the muscle originates ant the insertion point of the greater tubercle of the humerus (5/5). The most intramuscular neural distribution was located on 1/5-3/5 of the muscle. The tendinous portion was observed in the 3/5-5/5. The result suggests the botulinum neurotoxin should be delivered in the 1/5-3/5 area of the teres minor muscle.

Three-dimensional image analysis of the skull using variable CT scanning protocols-effect of slice thickness on measurement in the three-dimensional CT images (두개골의 3차원 영상 분석을 위한 전산화단층촬영 방법의 비교-상층 두께가 3차원 영상의 계측에 미치는 영향)

  • Jeong Ho-Gul;Kim Kee-Deog;Park Hyok;Kim Dong-Ook;Jeong Haijo;Kim Hee-Joung;Yoo Sun Koo;Kim Yong Oock;Park Chang-Seo
    • Imaging Science in Dentistry
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    • v.34 no.3
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    • pp.151-157
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    • 2004
  • Purpose : To evaluate the quantitative accuracy of three-dimensional (3D) images by means of comparing distance measurements on the 3D images with direct measurements of dry human skull according to slice thickness and scanning modes. Materials and Mathods : An observer directly measured the distance of 21 line items between 12 orthodontic landmarks on the skull surface using a digital vernier caliper and each was repeated five times. The dry human skull was scanned with a Helical CT with various slice thickness (3, 5, 7 mm) and acquisition modes (Conventional and Helical). The same observer measured corresponding distance of the same items on reconstructed 3D images with the internal program of V-works 4.0/sup TM/(Cybermed Inc., Seoul, Korea). The quantitative accuracy of distance measurements were statistically evaluated with Wilcoxons' two-sample test. Results: 11 line items in Conventional 3 mm, 8 in Helical 3mm, 11 in Conventional 5mm, 10 in Helical 5mm, 5 in Conventional 7mm and 9 in Helical 7mm showed no statistically significant difference. Average difference between direct measurements and measurements on 3D CT images was within 2mm in 19 line items of Conventional 3mm, 20 of Helical 3mm, 15 of Conventional 5mm, 18 of Helical 5mm, II of Conventional 7mm and 16 of Helical 7mm. Conclusion: Considering image quality and patient's exposure time, scanning protocol of Helical 5mm is recommended for 3D image analysis of the skull in CT.

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The Fault Distance Computation Method for Fault Location Identification of Distribution System (배전계통 고장위치 확인을 위한 고장점 표정기법)

  • Ko, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.4
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    • pp.276-281
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    • 2008
  • Because the distribution systems experience frequently the fault by several causes, the identification task of fault location plays very important role in the view point of power supply reliability. The distribution systems are designed as radial structure with three-phase and single-phase branch line to supply the electric power to the widely dispersed loads, and it have a several load taps within each line segment. it makes the accurate fault distance determination difficult. Accordingly in this papers, the existing fault point determination methods are surveyed and analyzed, and then a fault distance determination method for distribution feeder is adopted which can be executed effectively in DAS center. Finally, the adopted method is verified using EMTP simulation.

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Design of an Authentication System Based on Personal Identity Verification Card (전자신분증 기반의 개인 신분확인을 위한 인증시스템 설계)

  • Park, Young-Ho;Kong, Byung-Un;Rhee, Kyung-Hyune
    • Journal of Korea Multimedia Society
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    • v.14 no.8
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    • pp.1029-1040
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    • 2011
  • Electronic identity (e-ID) card based on smartcard is a representative identity credential for on-line and off-line personal identification. The e-ID card can store the personal identity information securely, so that the information can be accessed fast, automated identity verification and used to determine the cardholder's authorization to access protected resources. Due to such features of an e-ID card, the number of government organizations and corporate enterprises that consider using e-ID card for identity management is increasing. In this paper, we present an authentication framework for access control system using e-ID cards by discussing the threat environment and security requirement against e-ID card. Specifically, to accomplish our purpose, we consider the Personal Identity Verification system as our target model.

SVM-based Drone Sound Recognition using the Combination of HLA and WPT Techniques in Practical Noisy Environment

  • He, Yujing;Ahmad, Ishtiaq;Shi, Lin;Chang, KyungHi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5078-5094
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    • 2019
  • In recent years, the development of drone technologies has promoted the widespread commercial application of drones. However, the ability of drone to carry explosives and other destructive materials may bring serious threats to public safety. In order to reduce these threats from illegal drones, acoustic feature extraction and classification technologies are introduced for drone sound identification. In this paper, we introduce the acoustic feature vector extraction method of harmonic line association (HLA), and subband power feature extraction based on wavelet packet transform (WPT). We propose a feature vector extraction method based on combined HLA and WPT to extract more sophisticated characteristics of sound. Moreover, to identify drone sounds, support vector machine (SVM) classification with the optimized parameter by genetic algorithm (GA) is employed based on the extracted feature vector. Four drones' sounds and other kinds of sounds existing in outdoor environment are used to evaluate the performance of the proposed method. The experimental results show that with the proposed method, identification probability can achieve up to 100 % in trials, and robustness against noise is also significantly improved.

On-line Identification of The Toxicological Substance in The Water System using Neural Network Technique (조류를 이용한 수계모니터링 시스템에서 뉴럴 네트워크에 의한 실시간 독성물질 판단)

  • Jung, Jonghyuk;Jung, Hakyu;Kwon, Wontae
    • Journal of Korean Society on Water Environment
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    • v.24 no.1
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    • pp.1-6
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    • 2008
  • Biological and chemical sensors are the two most frequently used sensors to monitor the water resource. Chemical sensor is very accurate to pick up the types and to measure the concentration of the chemical substance. Drawback is that it works for just one type of chemical substance. Therefore a lot of expensive monitoring system needs to be installed to determine the safeness of the water, which costs too much expense. Biological sensor, on the contrary, can judge the degree of pollution of the water with just one monitoring system. However, it is not easy to figure out the type of contaminant with a biological sensor. In this study, an endeavor is made to identify the toxicant in the water using the shape of the chlorophyll fluorescence induction curve (FIC) from a biological monitoring system. Wem-tox values are calculated from the amount of flourescence of contaminated and reference water. Curve fitting is executed to find the representative curve of the raw data of Wem-tox values. Then the curves are digitalized at the same interval to train the neural network model. Taguchi method is used to optimize the neural network model parameters. The optimized model shows a good capacity to figure out the toxicant from FIC.

Real-time identification of the separated lanthanides by ion-exchange chromatography for no-carrier-added Ho-166 production

  • Aran Kim;Kanghyuk Choi
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.7 no.2
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    • pp.69-77
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    • 2021
  • No-carrier-added holmium-166 (n.c.a 166Ho) separation is performed based on the results of separation conditions using stable isotopes dysprosium (Dy) and holmium (Ho) to minimize radioactive waste from separation optimization procedures. Successful separation of two adjacent lanthanides was achieved by cation-exchange chromatography using a sulfonated resin in the H+ form (BP-800) and α-hydroxyisobutyric acid (α-HIBA) as eluent. For the identification process after separation of stable isotopes, the use of chromogenic reagents alternatively enables on-line detection because the lanthanides are hardly absorb light in the UV-vis region or exhibit radioactivity. Four different chromogenic reagents were pre-tested to evaluate suitable coloring reagents, of which 4-(2-Pyridylazo)resorcinol is the most recommendable considering the sensitivity and specificity for lanthanides. Lanthanide radioisotopes (RI) were monitored for separation with an RI detector using a lab-made separation LC system. Under the proper separation conditions, the n.c.a 166Ho was effectively obtained from a large amount of 100 mg dysprosium target within 2 hrs.

A Study on Unified Vector Control of Induction Motor (유도전동기의 통일적 벡터제어에 관한 연구)

  • Kim, Y.D.;Lee, D.C.
    • Journal of Power System Engineering
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    • v.5 no.3
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    • pp.95-103
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    • 2001
  • This study is applied to common induction motor, and vector control is realized by using an indirect type of induction motor which has a simple composition. In this study extended Kalman filter is used from control theoretical viewpoint, and primary resistance and secondary resistance which change according to the temperature of motor are simultaneously estimated. This paper aims to research an indirect vector control in which the secondary resistance obtained from this estimation is consistent with secondary flux. This estimation is made by on-line estimation, but on-line estimation is difficult because extended Kalman filter takes long time in computation time. So off-line estimation was made on the assumption that the variation of temperature in motor is slow temporally.

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Robust On-line Training of Multilayer Perceptrons via Direct Implementation of Variable Structure Systems Theory

  • Topalov, Andon V.;Kaynak, Okyay
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.300-303
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    • 2003
  • An Algorithm based on direct implementation of variable structure systems theory approach is proposed for on-line training of multilayer perceptrons. Network structures which have multiple inputs, single output and one hidden layer are considered and the weights are assumed to have capabilities for continuous time adaptation. The zero level set of the network learning error is regarded as a sliding surface in the learning parameters space. A sliding mode trajectory can be brought on and reached in finite time on such a sliding manifold. Results from simulated on-line identification task for a two-link planar manipulator dynamics are also presented.

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